A Bayesian Approach to Model Uncertainty /
This paper develops the theoretical background for the Limited Information Bayesian Model Averaging (LIBMA). The proposed approach accounts for model uncertainty by averaging over all possible combinations of predictors when making inferences about the variables of interest, and it simultaneously ad...
| Autor principal: | Tsangarides, Charalambos |
|---|---|
| Format: | Revista |
| Idioma: | English |
| Publicat: |
Washington, D.C. :
International Monetary Fund,
2004.
|
| Col·lecció: | IMF Working Papers; Working Paper ;
No. 2004/068 |
| Matèries: | |
| Accés en línia: | Full text available on IMF |
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